Comparison of standard maximum likelihood classification and polytomous logistic regression used in remote sensing

European Journal of Remote Sensing

Volumn 46, Issue 1, 2013, Pages 623-640

  Hogland, John ^a   Billor, Nedret ^b   Anderson, Nathaniel ^a  

^a ROCKY MOUNTAIN RESEARCH STATION   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

Discriminant; Logistic; Multinomial; Polytomous; Probabilistic; Remote sensing

Indexed keywords

DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; LOGISTICS; MAXIMUM LIKELIHOOD ESTIMATION; REMOTE SENSING;

CLASSIFICATION APPROACH; DISCRIMINANT; ENHANCED THEMATIC MAPPERS; MAXIMUM LIKELIHOOD CLASSIFICATIONS; MULTINOMIAL LOGISTIC REGRESSION; MULTINOMIALS; POLYTOMOUS; PROBABILISTIC;

LOGISTIC REGRESSION;

ALGORITHM; DISCRIMINANT ANALYSIS; IMAGE CLASSIFICATION; LANDSAT; MAXIMUM LIKELIHOOD ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; SOFTWARE;

EID: 84886683346     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.5721/EuJRS20134637     Document Type: Article

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